Over the last decades, the utilization of CAE has increased substantially in the vehicle NVH refinement process. Today CAE is a fully integrated in the NVH development due to significant innovations in computer algorithms, application software and hardware systems. The numerous challenges with respect to NVH driven by the introduction of new technologies can be mitigated by means of extensive utilization of CAE delivering products faster to the market. The presentation will cover a retrospective, current status and an outlook.

In this presentation, the current state of digitalization of maritime industry, structural rules and evaluation software used for hull structural design will be introduced. In addition, the efforts being made by ClassNK, one of the world's largest classification societies, to use digitalization to ensure ship safety will be also introduced.

During his speech Mr. Can will focus on the relationship between highly complex design documents and construction technique that minimize cost while working on a custom and double curved surface for one of the largest and most iconic construction sites of the globe.

Prof. Stefan Thomke, William Barclay Harding Professor of Business Administration at Harvard Business School, keynote presentation at the 2018 Global ATC in Paris, France.

Why do companies constantly come out with exciting innovations while others have great difficulty? Professor Thomke shows that an organization's ability to innovate depends on constantly experimenting with new products, processes, customer experiences and business models. During his keynote, Prof. Thomke explains why business experimentation is so critical to the management of innovation, underscores the huge potential of simulation (and new digital platforms), and outlines what managers must do to integrate them successfully. Drawing on two decades of research in multiple industries, he provides striking illustrations of how companies execute innovation more effectively.

In order to impact the product development process, MDO results must deliver to project timescales and in order to achieve this, a number of challenges need to be overcome. Typical challenges consist of efficiently performing MDO pre- and post-processing and solution activities. To meet these challenges, Altair has utilized its expertise in model management, large dataflow, job submittal, optimization and visualization, leveraging HyperWorks technologies to create a vertically integrated end-to-end process software tool.

Learn how Altair's IoT stack and architecture contributes to your value chain, IoT enables Smart Things and Processes in support of Simulation Driven Innovation. See real use cases examples and hands on demonstration.

As a technologist I have been following the technology trends and have identified three trends that can immensely change the product innovation landscape and they are: High Performance Cloud Computing, IOT / Smart Connected Product and Big Data / Machine Learning. Altair strongly believes we have all the necessary technologies required for the Product engineering digital transform and the value add being: a) Cloud HPC increasing the pace of product innovation b) IoT & Analytics improves the product performance and c) Data management increases the product engineering efficiency.

Dr. Uwe Schramm and James Dagg, CTOs at Altair, keynote presentation at the 2018 Global ATC in Paris, France.

This presentation will illustrate the power of Altair’s simulation technology through several practical examples applied to some of the most common product development challenges in automotive, aerospace, and other industries.

Starting with simulation in the early phases of concept design, designers can take advantage of CFD simulation to explore and validate how different designs impact the aerodynamic performance of a vehicle. Viewers will be shown how complex, detailed nonlinear airframe simulations can be modeled and performed quickly and accurately. The presenters will also explain how multiphysics problems like e-powertrain development can be solved with a model-based development approach, which considers electrical and electro-magnetic simulation of systems and sub-systems.

CAE has since long been established as the tool for validating and certifying mechanical properties during product development. Simulation-driven design takes simulation and optimization into the creative design process. Primary goal of simulation-driven design is to provide a continuous stream of decision data to support concept design and later product development stages.

Presentations recorded at the Global ATC in Paris, France on October 16, 2018.

Kai Thräne, Manager Weight & Balance Research & Development at Airbus Helicopter presents at the 2017 European ATC.

In the context of Industry 4.0, most enterprise processes must become more digitized. A key element will be the evolution of the traditional product development toward a connected and highly efficient ecosystem, where humans, machines and resources communicate with each other and work collaboratively.

Dominique Moreau, Head of Airframe Technical Authority, Airbus presents at the 2017 European ATC.

This presentation will present the today’s state-of-the-art numerical simulation and the very latest progress Airbus did on the topic. The presentation will go through what remains to develop in the future so to make numerical simulation much more effective in the design process of an aircraft.

After a brief introduction of the changes in the Energy Landscape, an analysis of the life of models will be presented from the viewpoint of system engineering. Along with the paradigm shift in the use of models, the power of the multidisciplinary use of models will be approached such as for Design Space Exploration, Verification-Validation for cyber-Physical offer or maintenance purposes.

Dr. Lars Fredriksson, Business VP – Simulation Driven Innovation at Altair presenting on behalf of NEVS at the 2017 European ATC.

The automotive industry is experiencing ever increasing requirements on new vehicles from all directions. Still, development cycles must be shortened and development costs reduced. Early concept development is a project stage where change costs are low and design freedom large. Thus, improvement of early concept development to mature designs faster and with better design balance must be a key goal of vehicle development.

To the Moon with Additive Manufacturing - Optimization, Space and Everything in Between

Yoram Malka, Head of Mechanical Engineering Department at Israel Aerospace Industry presents at the 2017 European ATC.

Increasing the performance of a system is a constant challenge engineers in all application areas face. This challenge specifically important in the aerospace world where weight reduction is one of the key factors defining the success of a project.

Artemis Racing’s use of Simulation Driven Design Technology in Pursuit of the 2017 America’s Cup

Peter Bentley, Design Team Member at Artemis Racing presents at the 2017 European ATC.

The increase in velocity enabled by advanced structural composites and on-board control systems has been a true game changer, and the future of sailing will be increasing dependent on simulation driven design.

This 16-minute long presentation from Simpact provides insight into how the company is utilising simulation technologies and processes to create highly innovative, flexible composite structures that are both lightweight and high performance.

Using Analytical Approach with Finite Element Analysis for Coupling Magnetic and Thermal Analysis for Motors

Thermal analysis is a key factor when designing motors. We propose to link the studies ofelectromagnetic and thermal aspects in transient application with Finite Element Method (FEM) torepresent the thermal state of motor with higher accuracy. As electromagnetic response time isdifferent of thermal response time, an original method is used for extracting average values on onemagnetic period of losses (Joule and iron losses), and to use them as input for the transient thermalanalysis. So, the temperature in different parts of the motor is extracted, and brought back as inputfor the next electromagnetic computation.

This paper describes the effect of air-gap variation on performance of a 28 pole axial flux permanent magnet motor (AFPM) with concentrated stator winding. The AFPM is modeled using three-dimensional finite-element method. This model includes all geometrical and physical characteristics of the machine components.

Abstract- The paper presents a FEM approach for studying the influence of the capacitor value on the magnetic noise of a network and inverter-fed permanent split-capacitor induction motor. A 4 pole, 24 stator slots and 30 rotor slots, induction motor is modeled under Flux2D Finite Element software in order to determine the amplitude and frequency spectrum of the magnetic forces acting on the stator. The effects of the inverter supply are taken into account by coupling Flux2D with Matlab/Simulink. The results are compared with those obtained from noise measurements performed on the studied motor.

Analyze Design and Control Aspects of Linear Machines Using Co-simulation

This research work describes the permanent magnet linear machines, their characteristics, control and applications. It aims to develop a linear machine model in finite element based software, Flux2D. The Finte Element Method (FEM) model consists of 8 poles and 9 slots where periodicity of poles is used to simulate inifinite travel length. The no-load and nominal load conditions are also simulated to validate the performance of the model. At no-load, the cogging force is simulated and is found to be 1.1N

3D Calculation and Modeling of Eddy Current Losses in a Large Power Transformer

Elimination of hot spots and reduction of eddy current losses in structural parts is one of the important constituents of transformer design. In this work, the eddy current losses in the clamping frame, transformer tank and electromagnetic shielding are calculated using a 3D finite element method. The clamping frame, transformer tank and electromagnetic shielding are modeled by surface impedance method. The paper analyses the effects of electromagnetic shielding and magnetic shunts on the eddy current loss reduction in the transformer tank.

Influence of Discrete Inductance Curves on the Simulation of Round Rotor Generator Using Coupled Circuit Method

This paper presents a study on the influence of the discretisation of the inductance curves on a detailed coupled circuit model of a synchronous generator with a damper winding and search coils. The self and mutual inductances of all coupled circuit are computed in magnetostatic with a 2D finite-element method (FEM) for different rotor positions.

Increasing concerns on energy security and environmental pollution by fossil fuel engines have pushed significant research in electric vehicles (EVs). The requirements for traction electrification are highly demanding in terms of efficiency, torque and power density, wid

EMC Modeling of an Industrial Variable Speed Drive With an Adapted PEEC Method

This paper presents an adapted partial element equivalent circuit (PEEC)-based methodology applied to the modeling of interconnections of power electronics devices. Although this method is already well known, the originality of this work is its use to model a device presenting an industrial complexity.

ABSTRACT. Temperature control of magnetic controllers (concentrators, cores, shields,shunts) is an essential part of the induction coil design. Prediction and study of the coilcopper have been described in a presentation “Influence of Cooling Conditions on InductionCoil Copper Temperatures” (V. Nemkov, R. Goldstein) [1]. That study was made using Flux2D computer simulation program.

Permeance variation in the air gap of the permanent-magnet synchronous machine induces eddy-current losses in its permanent magnets even in the absence of stator currents. This paper proposes a new analytical approach to analyze these losses using the permeance-variation vector function introduced for the air-gap magnetic-flux density distribution to take into account the stator teeth.

Composite free size optimization has the potential to generate weight savings and performance improvements for many applications of composite structures. Key to realizing such improvements is practical application of design and manufacturing constraints in the optimization model.

As decreasing hardware prices and attractive business models are democratizing high-performance computing (HPC) resources in the cloud, small- and medium-sized businesses (SMB) now have greater computing flexibility than ever before.

Design for additively made parts has become a very hot topic. Many engineers see the potential for topology optimization when designing ALM parts, but once they start the workflow, they tend to get bogged down in how to complete the process.

Advances in computational electromagnetic tools have made electromagnetic (EM) simulations possible for various applications. Now numerical simulations can be performed to evaluate the effects of antenna design, placement, radiation hazard, EMC/EMI, etc. for wide ranging industry applications. Numerical approaches that include full wave techniques such as Method of Moments (MoM), Multilevel Fast Multipole Method (MLFMM) and asymptotic techniques such as Physical Optics (PO) and Uniform Theory of Diffraction (UTD) are being utilized to solve many challenging problems that were not possible in the past.

With stricter requirements on performance and weight, in many cases, composite materials are now becoming the natural choice of designers and engineers given their desirable characteristics such as low weight and high strength. Material properties can be tuned so they are directional – stiffer in one direction while compliant in another for example.

The application of CAE early in a product’s design cycle can make an important difference in its cost and functionality. However the level of fidelity of the design early in the cycle limits the application of many traditional CAE tools. Fortunately this is where systems modeling can be applied due to the nature of utilizing a more abstract representation of the overall system and its components.

How Advanced Simulation will Impact the Offshore Industry both Now and in the Future

The easy days of Oil and gas extraction is over, and the ability to extract Oil and Gas from harsh enviornments is very dependent on the ability to overcome technical challenges through the use of advanced numerical analysis and simulation.

Challenges to Extending Design Verification and Optimization in Completion Tool Development

The oil and gas industry has shifted dramatically in the past year. The forecast for the industry is extremely different today compared to just a couple of years ago. To adjust, oil and gas producers are focusing on driving capital and operating efficiency to preserve their margins.

Advanced structural integrity management software is capable of using a structural Computer Aided Design (CAD) geometry to track the condition of a marine or offshore asset in a virtual environment. ABS Nautical Systems Hull Manager 3D (HM3D) converts a 3D CAD model to a database that stores vessel condition information and provides the ability to track condition changes due to structural degradation.

The power of Finite Element Analysis (FEA) simulations can be effectively used for failure analysis and design optimization to improve product reliability and mitigate operational risks. Expandable Liner Hangers used for wellbore construction within the oil and gas industry are complex mechanical systems that require sophisticated setting tools.

Fatigue life prediction of structures whose natural frequencies lie near the frequencies of the input loading requires the stress results from dynamic analyses. These analyses can be performed in either the time or the frequency domains depending on the nature or the loading. This presentation will outline the approaches available for fatigue life prediction using Altair OptiStruct and APA product, nCode DesignLife for both time and frequency based dynamic analyses. The strengths, weaknesses and assumptions of each approach will be presented, along with typical applications enabling the user to select the proper technique for their particular use case.

It has been recognised since the 1960’s that the frequency domain method for structural analysis offers superior qualitative information about structural response; But computational and technological issues have held back the implementation for fatigue calculation until now. Recent technological developments have now enabled the practical implementation of the frequency domain approach and this paper will demonstrate this, with particular reference to the technology limitations that have been overcome, the resultant performance advantages, and accuracy. These techniques are of relevance to all the large automotive OEM’s as well as aerospace T1 suppliers and example case studies from these companies will be included.

F.tech R&D North America Inc. started in 2003 at the Troy Ohio location. Today F.tech R&D North America features offices in Troy Michigan and Düsseldorf Germany. F.tech has full R&D capabilities from design and CAE, to prototyping and test. Products include subframes, suspension components, and pedals.

Extrusion of metals is a commercially important mass production process and extruded part are used in a wide variety of applications in in aerospace, automotive, railway, medical, electronics, consumer products and nuclear industries. The key to successful extrusion is the die design and it affects the entire gamut of production process from feasibility to product quality. A die designer faces a complex challenge of delivering a working die and often, problem dies are returned for rework. This directly affect the cost and profitability. Hence, it is critical for a die designer to ensure that the die designed produces the desired profile within acceptable quality and in addition, die is strong enough to withstand multiple extrusion cycles.

Use Inspire to form optimization from the packaging space, performance loading and manufacturing constraints to design an axle close to production ready design. The model setup requires careful setting of axle internal component design and oil flow consideration. Since Inspire does not provide weighting for different load cases, the author was able to gain from trial run to determine the balanced load application, mass target and meshing size requirement to obtain realistic design.

Team Rafale is regrouping aerospace engineers, as well as faculty members and students from ETS (Ecole de Technologie Superieure, in Montreal, Canada), who have taken on the ambitious challenge to design, build and race a C-Class catamaran in The Little Cup. This event, considered as the C-Class World Championship, will see the team face some of the toughest competition around, including contenders for the next America’s Cup such as Franck Cammas (current champion) and designers for current America’s Cup teams.